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Toward effective tasks navigation in crowdsourcing

Published:27 May 2014Publication History

ABSTRACT

Crowdsourcing platforms are changing the way people can work and earn money. The population of workers on crowdsourcing platforms already counts millions and keeps growing. Workers on these platforms face several usability challenges, which we identify in this work by running two surveys on the CrowdFlower platform. Our surveys show that the majority of workers spend more than 25% of their time on searching tasks to work on. Limitations in the current user interface of the task listing page prevent workers from focusing more on the execution. In this work we present an attempt to design and implement a specific user interface for task listing aimed to help workers spend less time searching for tasks and thus navigate among them more easily.

References

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  1. Toward effective tasks navigation in crowdsourcing

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    • Published in

      cover image ACM Other conferences
      AVI '14: Proceedings of the 2014 International Working Conference on Advanced Visual Interfaces
      May 2014
      438 pages
      ISBN:9781450327756
      DOI:10.1145/2598153

      Copyright © 2014 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 27 May 2014

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      • research-article

      Acceptance Rates

      AVI '14 Paper Acceptance Rate32of112submissions,29%Overall Acceptance Rate107of408submissions,26%

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